Abstract

FRANCO, Víthor Rosa  and  PRIMI, Ricardo. The Future of Assessments Through Social Media. Aval. psicol. [online]. 2022, vol.21, n.4, pp. 437-445. ISSN 1677-0471.  http://dx.doi.org/10.15689/ap.2022.2104.24170.07.

The overall aim of this study was to discuss the main innovations in psychological assessment made possible by the existence of social networks. More specifically, we characterize the practices (and weaknesses) of conventional psychological assessment, the most modern methods of computational psychometry and examples of applications of computational psychometry using data from social networks. In general, the conventional practices of psychological assessment of psychometrics were created in the 19th century and many of its practices, developed around the middle of the 20th century, continue to be used in a non-critical way. As an alternative, computational psychometrics, an approach to psychometrics that combines data-driven methods of computer science and psychometric theory, has been used to generate innovations in the area of assessment. Finally, we discuss some applications of computational psychometrics and how these innovations are likely to generate profound changes in the assessment context.

Keywords : big data; data; data science; computational psychometrics.

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